llmfit
ClawHubDetect local hardware (RAM, CPU, GPU/VRAM) and recommend the best-fit local LLM models with optimal quantization, speed estimates, and fit scoring.
localllmfitdetecthardwareramcpugpuvramrecommendbest-fit
# llmfit Detect local hardware (RAM, CPU, GPU/VRAM) and recommend the best-fit local LLM models with optimal quantization, speed estimates, and fit scoring. ## Discovery Metadata - Category: `experimental` - Framework: `ClawHub` - Tags: `local`, `llmfit`, `detect`, `hardware`, `ram`, `cpu`, `gpu`, `vram`, `recommend`, `best-fit` ## Agent Execution Policy This listing is **discovery metadata only**. Canonical instructions are maintained by ClawHub. ### Before Executing Actions 1. **Fetch canonical instructions** from: https://clawhub.ai/skill/llmfit 2. **Parse the skill page** for setup, usage, and input/output requirements. 3. **Only proceed** after successfully loading and understanding the full instructions. ### If Fetch Fails - Return `instruction_unavailable` with reason. - Do **not** attempt to infer or improvise execution steps from this metadata alone. ## Source - ClawHub listing: https://clawhub.ai/skill/llmfit
๐งช Found this useful?
The $SKILL experiment is building the agent skill distribution layer. Every skill you discover through this directory is part of the experiment.